Memory layer / memory infrastructure
What is a memory layer?
A memory layer is a service that holds memory separately from any one AI application, so multiple tools can read and write the same store. The alternative — memory built into each product — means what you teach one tool is invisible to the next, and switching tools means starting over. Separating the layer from the application is what makes memory an asset rather than a feature of whichever assistant you happen to be using. The distinction worth checking when comparing them: some memory layers stop at storage and retrieval, while others add a learning layer above.
What this is called in Tempreon
The Intelligence Forge
Tempreon's full stack — memory plus the learning layer that compounds it into something that sounds like you — is the Intelligence Forge.